Friday AI with Phil
EPISODE SEVEN
- AI agents are gaining more autonomy—and that raises new risks.
- Human oversight remains critical.
- Our relationship with AI is becoming surprisingly human.
- AI is most valuable when it enhances—not automatically replaces—human work
EPISODE SIX
- Why AI-driven web traffic is becoming “dark traffic”
- How to get AI to challenge your thinking vs. default agreement
- AI in real life: How AI helped organize information and next steps during a stressful real-world situation
EPISODE FIVE
- Start with the Use Case, not the technology
- Enable everyone, not just technical users
- Use AI to eliminate repetitive work
EPISODE FOUR
- Token costs on the rise
- Mitigating your token spend
- Leveraging the right AI models for the right requirements
EPISODE THREE
- Adoption is accelerating through partnerships, not just platforms
- Challenge #1 is still operationalizing AI, not model capability
- Hype is giving way to pragmatism in enterprise AI conversations
- AI literacy among leaders is becoming a strategic requirement
- Regulation and proof are catching up to AI experimentation
EPISODE TWO
- Agentic AI and the next phase of enterprise adoption
- Why AI governance and guardrails matter from day one
- The role of human-in-the-loop AI in reducing risk
- How better prompts, rules and data improve outcomes
- Why AI literacy and critical thinking are now essential
EPISODE ONE
- The demo mindset vs. the production mindset
- AI doesn't understand the context in your head
- Regulators don't want policy; they want proof
- AI as infrastructure, not experiment